
Senior Data Pipeline Specialist
18 hours ago
About Our Opportunity
We are looking for a talented Data Engineer to join our team and play a key role in designing, building, and maintaining scalable data pipelines and infrastructure.
You will collaborate closely with developers, architects, analysts, and data scientists to ensure smooth, secure, and efficient data delivery across multiple products and projects.
Key Responsibilities
- Design, build, and maintain data pipelines that power insights across the business.
- Assemble and manage large datasets from diverse sources.
- Automate and optimize data processes for greater efficiency and scalability.
- Develop ETL workflows using SQL and cloud-based big data tools.
- Build analytics tools to deliver actionable insights into business performance.
- Collaborate with executives, product managers, and analysts to meet evolving data needs.
- Ensure data systems are secure, reliable, and high-performing.
- Support data scientists and analysts by creating data tools and environments for advanced analytics.
Requirements
- Hands-on experience as a Data Engineer (2-7 years).
- A degree in Computer Science, IT, Statistics, or a related quantitative field.
- Advanced knowledge of SQL and relational databases.
- Proven experience building big data pipelines, architectures, and datasets.
- Strong analytical skills, especially in handling unstructured data.
- Working knowledge of cloud-based big data services.
- Familiarity with big data tools such as Hadoop, Spark, Kafka, etc.
- Experience with ETL tools like Informatica, DataStage, or Azure Data Factory.
- Knowledge of stream-processing systems like Storm or Spark Streaming.
- Proficiency in scripting/programming languages such as Python, Java, or Scala.
- Excellent communication skills and the ability to thrive in cross-functional teams.
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